Julien Vezoli

Ernst Strüngmann Institute (ESI)
for Neuroscience in Cooperation with Max Planck Society
Deutschordenstr. 46
60528 Frankfurt am Main
Germany

Tel: +49 69 96769 518
julien.vezoli(at)esi-frankfurt.de 


Curriculum Vitae

Research statement
My research interests lie in the leading field of brain structure-function relationships and alterations in neuropathological conditions; the main aim is to relate neuroanatomical connectivity features to neurophysiological interactions and to identify modifications of these relationships in the particular case of the NHP-model of Schizophrenia (chronic low-dose ketamine).My studies in neuroanatomy are concerned with understanding inter-areal connectivity and brain networks' basic characteristics. I use the chronic-ECoG technique and deep multi-laminar recordings to seek for neurophysiological correlates of hierarchical processing and cognitive integration during instrumental conditioning. Finally, I exploit the chronic low-dose ketamine protocol to model schizotypal behaviors of Schizophrenia (positive and negative symptoms but with a particular focus on the cognitive symptoms). The aim of this study is to identify and characterize neurophysiological markers of the cognitive decline caused by synaptic plasticity alterations accompanying this psychiatric disorder.

Key publications
Markov, N.T., Misery, P., Falchier, A., Lamy, C., Vezoli J. et al (2011) Weight Consistency Specifies Regularities of Macaque Cortical Networks. Cerebral Cortex. 21(6),1254-72. Epub 2010

Kennedy, H., Vezoli J., Gariel, M.A., Markov, N.T., Douglas, R.J., Knoblauch, K. (2009) Strong loops and weak links in the neocortex. Neuroscience Research 65(S1), S166.

Vezoli, J., Procyk, E. (2009) Frontal Feedback-Related Potentials in Nonhuman Primates: Modulation during Learning and under Haloperidol. J Neurosci. 29 (50), 15675-15683.

Vezoli, J., Falchier, A., Jouve, B., Knoblauch, K., Young, M., Kennedy, H. (2004) Quantitative analysis of connectivity in the visual cortex: extracting function from structure. Neuroscientist 10(5),476-82.